PODCAST
[Audio] Purdue School on High Performance and Parallel Computing
by Alejandro Strachan
The goal of this workshop is to provide training in the area of high performance scientific computing for graduate students and researchers interested in scientific computing. The School will address current hardware and software technologies and trends for parallel computing and their application to solve scientific problems. It will also include lab sessions where participants will get hands-on experience with parallel computing including the use of performance evaluation and debugging tools on state of the art simulation codes.
Episodes
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MPI for the Next Generation of Supercomputing
Despite premature rumours of its demise, MPI continues to be the de facto standard for high-performance parallel computing. Nonetheless, supercomputing software and the high-end ecosystem continue to advance, creating challenges to several aspects of MPI. In this talk we will review the design…
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OpenMP Tutorial
This tutorial consists of three parts. First, we will discuss abouthow OpenMP is typically used and explain OpenMP programming model. Second, we will describe important OpenMP constructs and data enviroments. Finally, we will show a simple example to illustrate how OpenMP APIs are used to program...
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Welcoming Remarks
Opening remarks for the Purdue School on High Performance and Parallel Computing.
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Introduction to Parallel Programming with MPI
Single-session course illustrating message-passing techniques. The examples include point-to-point and collective communication using blocking and nonblocking transmission. One application illustrates the manager/worker model with buffered communications. Code examples provided in C, C++, Fortran...
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Software Productivity Tools
This presentation briefly describes the use of tar(1), make(1), the Portable Batch System (PBS), and two version control systems: CVS and subversion.
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Introduction to TotalView
This single-session course presents an introduction to the use of the TotalView parallel debugger available on Purdue's Linux systems.
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ABOUT THIS SHOW
The goal of this workshop is to provide training in the area of high performance scientific computing for graduate students and researchers interested in scientific computing. The School will address current hardware and software technologies and trends for parallel computing and their application to solve scientific problems. It will also include lab sessions where participants will get hands-on experience with parallel computing including the use of performance evaluation and debugging tools on state of the art simulation codes.
HOSTED BY
Alejandro Strachan
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Frequently Asked Questions
How many episodes does [Audio] Purdue School on High Performance and Parallel Computing have?
[Audio] Purdue School on High Performance and Parallel Computing currently has 6 episodes available on PodParley. New episodes are automatically indexed when they're published to the podcast feed.
What is [Audio] Purdue School on High Performance and Parallel Computing about?
The goal of this workshop is to provide training in the area of high performance scientific computing for graduate students and researchers interested in scientific computing. The School will address current hardware and software technologies and trends for parallel computing and their application...
How often does [Audio] Purdue School on High Performance and Parallel Computing release new episodes?
[Audio] Purdue School on High Performance and Parallel Computing has 6 episodes. Check the episode list to see recent publication dates and frequency.
Where can I listen to [Audio] Purdue School on High Performance and Parallel Computing?
You can listen to [Audio] Purdue School on High Performance and Parallel Computing on PodParley by clicking any episode. We provide an embedded audio player for direct listening, and you can also subscribe via your preferred podcast app using the RSS feed.
Who hosts [Audio] Purdue School on High Performance and Parallel Computing?
[Audio] Purdue School on High Performance and Parallel Computing is created and hosted by Alejandro Strachan.
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